The space complexity of the Dijkstra algorithm is O(V), where V is the number of vertices in the graph.
The runtime complexity of Dijkstra's algorithm is O(V2) with a binary heap or O(E V log V) with a Fibonacci heap, where V is the number of vertices and E is the number of edges in the graph.
The runtime complexity of the Dijkstra algorithm is O(V2) with a simple implementation using an adjacency matrix, or O(E V log V) with a more efficient implementation using a priority queue.
The time complexity of Dijkstra's algorithm with a priority queue data structure is O((V E) log V), where V is the number of vertices and E is the number of edges in the graph.
The time complexity of Dijkstra's algorithm for finding the shortest path in a graph is O(V2) with a simple implementation using an adjacency matrix, or O((V E) log V) with a more efficient implementation using a priority queue.
The runtime complexity of Dijkstra's algorithm for finding the shortest path in a graph is O(V2) with a simple implementation using an adjacency matrix, or O((V E) log V) with a more efficient implementation using a priority queue.
Dijkstra's original algorithm (published in 1959) has a time-complexity of O(N*N), where N is the number of nodes.
The runtime complexity of Dijkstra's algorithm is O(V2) with a binary heap or O(E V log V) with a Fibonacci heap, where V is the number of vertices and E is the number of edges in the graph.
The runtime complexity of the Dijkstra algorithm is O(V2) with a simple implementation using an adjacency matrix, or O(E V log V) with a more efficient implementation using a priority queue.
The time complexity of Dijkstra's algorithm with a priority queue data structure is O((V E) log V), where V is the number of vertices and E is the number of edges in the graph.
The time complexity of Dijkstra's algorithm for finding the shortest path in a graph is O(V2) with a simple implementation using an adjacency matrix, or O((V E) log V) with a more efficient implementation using a priority queue.
The runtime complexity of Dijkstra's algorithm for finding the shortest path in a graph is O(V2) with a simple implementation using an adjacency matrix, or O((V E) log V) with a more efficient implementation using a priority queue.
The algorithm will have both a constant time complexity and a constant space complexity: O(1)
The time complexity of Dijkstra's algorithm for finding the shortest path in a graph is O(V2) with a simple implementation using an adjacency matrix, and O(E V log V) with a more efficient implementation using a priority queue.
dijkstra's algorithm (note* there are different kinds of dijkstra's implementation) and growth graph algorithm
No, Dijkstra's algorithm does not work for graphs with negative weights.
time complexity is 2^57..and space complexity is 2^(n+1).
Dijkstra's algorithm is used by the OSPF and the IS-IS routing protocols. The last three letters in OSPF (SPF) mean "shortest path first", which is an alternative name for Dijkstra's algorithm.